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Molecular Static and Dynamic Analyses reveal Flaw in Murine Model used by US FDA to Detect Drug Carcinogenicity

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Title Molecular Static and Dynamic Analyses reveal Flaw in Murine Model used by US FDA to Detect Drug Carcinogenicity
Date 2007-06-15T18:05:48Z
Creator Trevor Marshall
Subject Biotechnology
Description The US FDA currently accepts carcinogenicity studies of pharmaceutical drugs based on murine models. In addition to 6 month studies with p53(+/-) and ras.H2 transgenic mice, lifetime studies (typically 2 years) in WT mice or rats are also considered as evidence that a drug lacks carcinogenic activity. This model is not always exhaustive. For example, during the acceptance testing of the ARB Olmesartan[1], possible carcinogenicity observed in hamsters was not able to be duplicated in rats, or in transgenic mice. We have previously used the static molecular modeling of AutoDock to demonstrate that Olmesartan has agonostic activity in the PDB:1DB1 model of the human VDR Nuclear Receptor[2], while it has antagonistic activity in the PDB:1RK3 model of the rat VDR. This agonism has now been confirmed with Molecular Dynamics, using GROMACS. The murine VDR indeed lost its ability to bind the DRIP-205 co-activator when Olmesartan was the ligand, while the human VDR was activated by Olmesartan similarly to its native ligand (1,25-dihydroxyvitamin-D). Since the VDR is believed to express 913 genes[3], many of which are known to be associated with cancer pathogenesis, good homology between human VDR, and the animal model VDR, is exceedingly important. CONCLUSION: The murine environment is inadequate to accurately model drug carcinogenic activity in humans. A species should be chosen which has a VDR LBP homology closer to that of man. AutoDock and GROMACS molecular analyses are useful in resolving any remaining anomalies in the observed data.    References:  1. FDA CDER: NDA-21-286, Sankyo Pharma Inc Available from URL  2. Marshall TG: VDR Nuclear Receptor Competence is the Key to Recovery from Chronic Inflammatory and Autoimmune Disease. Abstract presentation, DMM2006.  Available from URL  3. Wang TT, et al: Large-scale in silico and microarray-based identification of direct 1,25-dihydroxyvitamin-D3 target genes. Mol Endocrinol. 2005 Nov;19(11):2685-95.  
Source Nature Precedings
Type Poster
Rights Creative Commons Attribution 3.0 License